AWS Data Analytics Certification DAS-C01 Prep
AWS DAS-C01 Data Analytics. Kinesis, Glue, Redshift, and data pipeline architecture.
Course Description
This course prepares you for the AWS Data Analytics (DAS-C01) exam. We cover Kinesis, Glue, Redshift, QuickSight, and data pipeline architecture.
You will learn through hands-on labs, real analytics scenarios, and practice exams. The course includes video lessons and downloadable study guides.
Course Curriculum
5 sections • 16.50 hours total length
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Understanding the DAS-C01 Exam Blueprint (12m)
Break down the exam domains and weightings so you know exactly what to focus on. Learn how to map the blueprint to your current knowledge.
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Setting Up Your AWS Exam Environment (18m)
Step-by-step guide to configuring your AWS account for practice. Includes cost-saving tips and free tier usage for labs.
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Key Data Analytics Concepts for the Exam (15m)
Review essential data lake, streaming, and warehousing concepts. We'll connect theory to practical exam questions.
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How the Exam is Structured and Scoring (8m)
Understand question types, time management, and scoring. Learn strategies to approach multiple-choice and scenario-based questions.
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Building Your Study Plan for Success (10m)
Create a realistic study timeline with milestones. Includes downloadable templates to track your progress.
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Common Pitfalls and How to Avoid Them (14m)
Learn from others' mistakes. We'll cover common misconceptions and tricky areas that trip up candidates.
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Introduction to Core AWS Data Services (22m)
Get a high-level overview of Kinesis, Glue, Redshift, Athena, and more. Understand their roles in the data analytics ecosystem.
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AWS Kinesis: Streaming Data Mastery (25m)
Hands-on guide to Kinesis Data Streams and Firehose. Learn configuration, scaling, and cost optimization for the exam.
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AWS Glue: ETL and Data Catalog Essentials (28m)
Step-by-step walkthrough of Glue jobs, crawlers, and the Data Catalog. Includes real ETL problem-solving scenarios.
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Amazon Redshift: Data Warehousing Fundamentals (32m)
Deep dive into Redshift clusters, distribution styles, and query optimization. Practical tips for exam performance.
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Amazon Athena: Serverless Querying Made Simple (18m)
Learn how to query S3 data with Athena, partition data, and optimize costs. Includes a case study on log analysis.
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AWS Lake Formation: Governing Your Data Lake (20m)
Understand security and governance for data lakes. Learn how Lake Formation integrates with other services.
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Amazon EMR: Processing Big Data at Scale (30m)
Explore EMR clusters, Hadoop, and Spark. We'll cover exam scenarios for processing large datasets.
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Amazon QuickSight: Visualization and BI (16m)
Learn to create dashboards and reports. Understand how QuickSight connects to other AWS data services.
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Amazon OpenSearch Service: Search and Analytics (22m)
Master OpenSearch for log analytics and real-time search. Includes cluster management and security topics.
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AWS Data Pipeline: Orchestration Basics (14m)
Understand pipeline components and when to use them. Compare with Glue and Step Functions for the exam.
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Amazon Kinesis Data Analytics: Real-Time Processing (26m)
Dive into SQL and Flink applications for streaming analytics. Practical examples for exam questions.
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Integrating Services: Building End-to-End Pipelines (35m)
Real case study: From ingestion to visualization. Learn how services work together in production.
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IAM and Security for Data Analytics (24m)
Step-by-step guide to policies, roles, and encryption. Protect your data and prepare for security exam questions.
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VPC and Network Isolation for Data Services (20m)
Learn how to configure VPC endpoints and security groups. Includes a troubleshooting session.
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Cost Optimization Strategies for Analytics (18m)
Practical tips to reduce costs in Kinesis, Glue, and Redshift. Downloadable cost calculator template.
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Monitoring and Logging with CloudWatch (15m)
Set up alarms and dashboards for your data services. Learn what to monitor for exam scenarios.
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Data Governance and Compliance (22m)
Understand GDPR, HIPAA, and AWS compliance tools. Real-world governance case study.
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Backup and Disaster Recovery Planning (16m)
Learn backup strategies for Redshift, Glue, and S3. Prepare for exam questions on RPO and RTO.
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Tackling Scenario-Based Questions (20m)
Learn a framework for breaking down complex scenarios. Practice with real exam-style questions.
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Time Management During the Exam (12m)
Strategies to pace yourself and avoid rushing. Includes a timed practice quiz.
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Analyzing Exam Dumps Ethically (2026 Edition) (18m)
How to use practice questions without violating AWS policies. Focus on learning, not memorization.
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Hands-On Lab: Build a Data Pipeline (40m)
Step-by-step lab to create a pipeline using Kinesis, Glue, and Athena. Includes downloadable code snippets.
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Practice Exam 1: Full-Length Simulation (38m)
Take a timed practice test with detailed explanations for each answer. Identify your weak areas.
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Practice Exam 2: Focus on Weak Domains (35m)
Targeted practice based on your first exam results. Includes performance analytics.
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Reviewing and Learning from Mistakes (15m)
A systematic approach to analyzing wrong answers. Create an error log for your final review.
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Advanced Troubleshooting Scenarios (28m)
Real-world problems and solutions. Learn how to diagnose and fix issues in data services.
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Exam Day Checklist and Mindset (10m)
What to do the night before and on exam day. Mental preparation tips for success.
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Final Review: High-Impact Topics (25m)
Cram session focusing on the most frequently tested concepts. Includes quick-reference guides.
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Applying Your Knowledge to Real Projects (22m)
How to transition from exam prep to real-world implementation. Case study from a production environment.
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Building a Portfolio with AWS Projects (18m)
Step-by-step guide to showcasing your skills. Includes templates for project documentation.
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Staying Current with AWS Updates (14m)
Strategies to keep up with new features and services. Set up alerts and follow AWS re:Invent highlights.
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Preparing for AWS Specialty Certifications (16m)
Next steps after DAS-C01. Overview of Machine Learning, Analytics, and other specialty paths.
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Networking and Community Involvement (12m)
How to join AWS user groups and forums. Learn from peers and share your knowledge.
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Career Advancement with AWS Certification (15m)
Tips for updating your resume and LinkedIn. How to leverage certification for job opportunities.
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Continuous Learning Plan for Data Professionals (20m)
Create a long-term learning roadmap. Includes resources for ongoing skill development.
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Troubleshooting Common Post-Certification Challenges (18m)
Address real issues faced after passing the exam. Solutions for implementation hurdles.
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Automating Your Data Workflows with AWS (25m)
Step-by-step guide to using Step Functions and EventBridge for automation. Includes a downloadable workflow template.
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Advanced Cost Management for Analytics (22m)
Deep dive into cost allocation tags, budgets, and optimization tools. Real savings case study.
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Security Best Practices for Production (20m)
Implementing least privilege, encryption, and auditing. Practical checklist for secure deployments.
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Performance Tuning for High-Volume Data (28m)
Optimize Redshift, Athena, and Glue for performance. Includes benchmarking techniques.
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Final Project: End-to-End Analytics Solution (45m)
Build a complete project from scratch. Includes all services covered and a review checklist.
Course Details
- Duration: 16.50 hours
- Level: Adaptative
- Language: English
- Lessons: 47+ video lessons
- Categories: IT Certifications
- Access: Lifetime access
- Device: Mobile & Desktop
- Certificate: Yes. After completion and Exam
The course is totally free. Seriously appreciated attribution
